Data Scientist

Key Skills

AWS, Forecasting, MLOps tools, Monte Carlo Simulation, Object-Oriented programming (OO languages), Pandas, Probability, Python Programming, Scikit-learn, Statistical modeling, Time series

Job Description

Who we are

Optimal Dynamics is on a mission to automate and optimize the logistics industry through the use of advanced analytics. We are based on more than three decades of R&D at Princeton University and represent the most sophisticated technology ever developed for the logistics industry. Optimal Dynamics is a high-growth early-stage company with ~75 employees (but changing very quickly!) and $56M in funding.

About the team

We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable and scalable for the long run.

First and foremost, this position requires experience in both object-oriented programming in python and a strong background in machine learning. If you have these qualifications and are interested in developing them further at an exciting startup, this position is perfect for you. If not but you would still like to pursue a career at Optimal Dynamics, please check the career page at https://www.optimaldynamics.com/careers for other openings that may be a better fit.

Although this position is remote, candidates in greater NYC area that can be hybrid are preferred.

Who you are:

• You are a quick learner and excited about learning new technologies
• You thrive in an environment with a lot of context and minimal guidance
• You are passionate about building machine learning software with automated testing, code/data quality and engineering best practices in a production environment
• You are adept at communicating and collaborating effectively with others, promoting your ideas as well as being humble when you may be wrong
• You like to work within a concentrated team, collaborating with your colleagues (product manager, designer, data scientist) to ship impactful products

Responsibilities:

• In the onboarding stage, senior members of the ML team will get you up to speed on our technologies and help you develop your skill set to the point where you can contribute to the development of cutting edge optimization and AI tools for the logistics industry
• Heavily engaged in the software development life cycle (research, design, experimentation, development, deployment, monitoring, and maintenance) to ensure stability and quality of the codebase
• Research and implement best practices to enhance our existing machine learning infrastructure in production environments
• You will have the freedom to ideate and apply novel methodologies and techniques
• You will have the ability to learn directly from leaders in the field of AI and optimization

Qualifications:

• Strong foundation in probability, statistics, and Monte Carlo simulation
• Significant experience with object-oriented programming in python
• Knowledge of software design patterns
• Experience with machine learning models for time series forecasting
• Experience with common ML/data science packages (e.g. pandas, sklearn)
• Experience writing and refactoring production-level code, familiarity with unit and integration tests
• Demonstrated ability to troubleshoot complex issues and find resolutions
• Ability to work in a fast-paced, agile environment

Nice to Have:

• Experience with Machine Learning Operations (MLOps) best practices
• Experience with cloud computing (AWS preferred)
• 3+ years of industry experience or an MS in Computer Science, Electrical Engineering, Operations Research, or a related field

Salary:

• $140,000-160,000

Benefits

• Equity
• Health / Dental / Vision 100% covered for employee and 50% for dependents
• Life Insurance
• Flexible Spending Account (FSA)
• 401(k) match
• Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement)
• 11 Holidays
• Paid Parental Leave for all employees
• Fitness Membership reimbursement
• Commuter benefits
• Flexible work from home policy

Optimal Dynamics is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and employees. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.

Optimal Dynamics is committed to working with and providing access and reasonable accommodation to applicants. If you require an accommodation, please reach out to careers@optimaldynamics.com once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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